Openlayer
Langfuse
Helicone AI
LangChain
Contentable.ai
Octomind.run
Giskard.ai
Braintrust
StackSpend.app
Vantage
CloudZero
Langfuse
Openlayer StackSpend.appNo StackSpend.app videos yet. You could help us improve this page by suggesting one.
StackSpend.app's answer:
Legacy FinOps tools were built for the AWS-only era: they stop at a chart, bill you a percentage of your cloud spend, and can't explain what changed. StackSpend is different on three fronts โ it explains the cause of every spike (cost-to-code correlation), it covers AI/LLM spend as a first-class citizen alongside cloud, and it uses flat, predictable per-tier pricing so your cost-management bill never grows just because your cloud bill did. Setup takes minutes, and a 14-day free trial doubles as a free cost-health audit.
StackSpend.app's answer:
StackSpend traces every dollar of cloud and AI spend back to the code, team, and pull request that caused it. Where traditional cost tools show you that spend moved, StackSpend's cost-to-code correlation shows you why โ automatically tying each anomaly to the deploy, config change, or PR behind it. It unifies traditional cloud (AWS, Azure, GCP, Snowflake) and modern AI spend (OpenAI, Anthropic, Cursor) in one view, detects anomalies daily instead of at month-end, and works from day one without a data team building dashboards.
StackSpend.app's answer:
Engineering and finance teams who share responsibility for cloud and AI spend โ platform/DevOps engineers, engineering leaders, and FinOps or finance practitioners. It's built for teams running a mix of cloud infrastructure and AI/LLM services who need daily visibility and a shared source of truth, from fast-moving startups through mid-market and enterprise organizations.
StackSpend.app's answer:
StackSpend was built by engineers who spent years watching cloud bills climb โ and then watching AI make them climb faster. Founder Andrew Day spent a decade building large-scale systems in regulated banking, where every dollar of infrastructure was accounted for, then eight years in AI startups where teams spent across OpenAI, Anthropic, Cursor, and a dozen cloud services with no way to say why the bill jumped. The cause was almost always a code change โ a PR that flipped a model or widened a query โ but finance dashboards never connected spend to the code behind it. So StackSpend was built to close that gap and turn a monthly surprise into a daily signal.
StackSpend.app's answer:
StackSpend is a TypeScript monorepo (Turborepo). The web app is built with Next.js 15, React 19, and Tailwind CSS, deployed on Vercel. The backend API is a Node.js/Express service on Railway, with Supabase (PostgreSQL) for data and auth. Cost forecasting is powered by a Python FastAPI service using Prophet, pandas, and NumPy. AI/LLM features run through a dedicated agents service (Anthropic Claude), and the platform ingests cost data via native provider APIs and the open FOCUS standard.
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
Vantage - Vantage is a Fire Pre-Planning and Survey Tool built with the assistance and input of actual fire responders and dispatchers.
Helicone AI - Open-source LLM Observability for Developers
CloudZero - The worldโs leading cloud cost optimization platform. Allocate 100% of your cloud spend to identify savings opportunities.
LangChain - Framework for building applications with LLMs through composability
Contentable.ai - Compare multiple AI models in seconds